Presentation intervals and the impact of delay on breast cancer progression in a black African population

BMC Public Health

Table 5 Showing the probability of short primary-care and symptom-detection to specialist interval based on specific sociodemographic risk factors, premorbid exposure and the experience(s) after disclosure and during help-seeking

Variable	N	Probability of short Primary-care(%)	P value	Variable	N	Probability of short total interval (%)	P value
Age bracket			0.11	Appraisal interval			0.001
20–40	102	29		short	314	31
41–60	189	32		long	75	7
> 60	79	43		Help-seeking interval			0.001
Education				short	221	41
none	73	40	0.09	long	160	7
primary	61	26		Primary-care interval	63		0.001
secondary	106	35		short	124	52
tertiary	124	30		long	247	12
Marital status			0.60
married	254	34
single	20	40		Incorrect advice
divorced/separated	8	50		Doctors(GP)
widow	45	33		Antibiotics/gel	19
Awareness of CaB			0.16	excise	29
aware	252	31		Observe/reassure	4
unaware	98	37
Premorbid health service preference			0.34	Nurse/CHEW
hospital care(doc/nurse)	166	37		Antibiotics/gel	13
self-medicate	122	34		excise	2
alternative	33	24		observe	2
Tumor size at arrival at primary-care			0.03	Chemist/pharmacist
1–5 cm	211	29		antibiotics/gel	9
> 5 cm	147	39		excise	1
Personnel advice			0.02
correct	257	37
incorrect	76	20
No of personnel visited			0.17
0–1	260	36
> 1	100	28
Correct advice in subgroups of respondents	n	Probability of correct advice(%)
big tumor (> 5 cm)	143	75
small tumor (≤5 cm)	222	69
≤40 years n = 104	104	78
41-60 years n = 194	194	70
> 60 years n = 78	78	76
doctor FHP	292	69	0.17
nondoctor FHP	86	40

Table showing the probability of short primary-care and symptom-detection to specialist interval based on specific sociodemographic risk factors, premorbid exposure, and the experience(s) after disclosure and during help-seeking

ISSN: 1471-2458